Investigating periods of increasing interest rates for the S&P 1500: Patterns and possible strategies¶

by Luca Reichelt, 999786¶

This project aims to investigate periods of increasing interest rates by the federal reserve based on the constituents of the S&P 1500. As an end result we attempt to implement our findings into a portfolio strategy.

The first month of observation is defined as the month of the first hike. The last date of observation is defined as the last month before a decreasing or stagnant interest rate (no change). Company data is based on the latest data available which have been published figures before the first day.

We do not adjust for changes in the SP1500, but will include all the data available for its constituents as of the first month of the respective period.

All of the data that isn't retrieved while executing the code has been exported from Bloomberg Terminal or investing.com for Gold and is available within the folder "data_raw" in xlsx format. The data which is retrieved during the code execution is retrieved from Yahoo Finance or the FRED API, which is a API provided by the Federal Reserve of St.Lewis (https://fred.stlouisfed.org/docs/api/fred/).

You should be able to run this notebook after creating a local environment using anconda/miniconda and executing following command while referring to the provided yaml file for your respective machine:

conda env create --file=env.yml

In [ ]:
# importing the main packages
from datetime import datetime, timedelta
import os
import numpy as np
import pandas as pd
import dataframe_image as dfi
import yfinance as yf
import pandas_datareader.data as web
import pickle as pkl
In [ ]:
# getting the last periods of increasing interest rates (Federal Funds Effective MONTHLY Rate) from 1995 onwards
fed_rates = web.DataReader('FEDFUNDS', "fred", 1995)
fed_rates.set_index(fed_rates.index.astype('datetime64[ns]'), inplace=True)

periods = pd.DataFrame(columns=["Name", "Start", "Last"])
periods.loc[periods.shape[0]] = [None, None, None]

period = 0
j = 0

# we search for periods that are at least 9 months (eight fed rate decisions)
for i in range(0, len(fed_rates)-1):
    if (fed_rates.iloc[i+1]['FEDFUNDS'] <= fed_rates.iloc[i]['FEDFUNDS']) and (i-j >= 9):
        periods.loc[period]["Last"] = datetime.strftime(
            fed_rates.index[i], '%Y-%m-%d')
        period += 1
        if (datetime.date(fed_rates.index[-1])-datetime.date(fed_rates.index[i])).days >= 365:
            periods.loc[periods.shape[0]] = [None, None, None]
        j = i
    elif (fed_rates.iloc[i+1]['FEDFUNDS'] <= fed_rates.iloc[i]['FEDFUNDS']) and (i-j < 9):
        periods.loc[period]["Name"] = "Period " + str(period+1)
        periods.loc[period]["Start"] = datetime.strftime(
            fed_rates.index[i], '%Y-%m-%d')
        j = i

# adding the last date for the current one
periods.loc[period]["Last"] = datetime.strftime(
    fed_rates.index[-1], '%Y-%m-%d')
periods["Duration"] = ((pd.to_datetime(periods["Last"]) -
                       pd.to_datetime(periods["Start"]))/np.timedelta64(1, 'M')).astype(int)
dfi.export(periods, "periods.png")
periods
Out[ ]:
Name Start Last Duration
0 Period 1 2004-04-01 2006-08-01 27
1 Period 2 2016-09-01 2017-08-01 10
2 Period 3 2017-09-01 2018-07-01 9
3 Period 4 2022-01-01 2023-02-01 13
In [ ]:
def web_import(rate, start, end):
    df = web.DataReader(rate, "fred", start, end)
    df.index = pd.to_datetime(df.index)
    df.sort_index(inplace=True)
    return df
In [ ]:
def yf_import(ticker, start, end):
    data = yf.download(ticker, start, end)
    monthly = data.groupby(pd.PeriodIndex(data.index, freq="M"))[
        "Close"].mean()

    if data.size > 0:
        if not data.empty == True and len(monthly.values) == round((data.index[-1] - data.index[0])/np.timedelta64(1, 'M')) and len(monthly.values) >= 9:
            df = pd.DataFrame(index=pd.date_range(start, end, freq='MS'), data=np.append(
                monthly.values, data.iloc[-1]["Close"]))
            df.rename(columns={df.columns[0]: ticker}, inplace=True)
            df.drop(columns=df.columns.difference([ticker]), inplace=True)
            df.index = pd.to_datetime(df.index)
            return df
        elif len(monthly.values) < 9:
            empty = np.empty((1, 11-(len(monthly))))
            empty[:] = np.nan
            df_data = np.append(empty, monthly.values)
            df = pd.DataFrame(index=pd.date_range(
                start, end, freq='MS'), data=df_data)
            df.rename(columns={df.columns[0]: ticker}, inplace=True)
            df.drop(columns=df.columns.difference([ticker]), inplace=True)
            df.index = pd.to_datetime(df.index)
            return df
    else:
        df = pd.DataFrame(index=pd.date_range(
            start, end, freq='MS'), columns=[ticker])
        df.index = pd.to_datetime(df.index)
        return df
In [ ]:
raw = "data_raw/"

gold = pd.read_csv(raw + "Gold_Futures.csv").set_index("Date")
gold["Gold"] = gold['Price'].str.replace(',', '').astype(float)
gold.drop(columns=gold.columns.difference(["Gold"]), inplace=True)
gold.index = pd.to_datetime(gold.index)
gold.sort_index(inplace=True)
In [ ]:
import plotly.express as px
import plotly.graph_objects as go
from plotly.subplots import make_subplots

tickers = ["^SP1500", "^IXIC"]
rates = ["FEDFUNDS", "CORESTICKM159SFRBATL", "UNRATE"]


def comparison(tickers, start, end):
    df = gold.loc[start:end]
    for ticker in tickers:
        df = pd.concat([df, yf_import(ticker, start, end)], axis=1)
    df = pd.concat([df, web.DataReader(
        'WTISPLC', "fred", start, end)], axis=1)

    df_chg = df.pct_change()*100

    legend = {"Gold": "Gold", "^SP1500": "S&P 1500",
              "^IXIC": "Nasdaq",  "WTISPLC": "Spot Crude Oil Price WTI", "FEDFUNDS": "FED Rate", "CORESTICKM159SFRBATL": "CPI", "UNRATE": "Rate of Unemployment"}

    fig = px.line(df_chg, y=["Gold", "^SP1500", "^IXIC", "WTISPLC"], labels=legend,
                  title='Indices/Assets monthly change in %')
    fig.update_yaxes(
        title="Change in % compared to month before")
    fig.update_xaxes(
        title="Date")
    fig.for_each_trace(lambda t: t.update(name=legend[t.name], legendgroup=legend[t.name],
                                          hovertemplate=t.hovertemplate.replace(
                                              t.name, legend[t.name])
                                          ))

    for index, row in periods.iterrows():
        fig.add_vline(x=row['Start'], line_width=2,
                      line_dash="dash", line_color="green")
        fig.add_vline(x=row['Last'], line_width=2,
                      line_dash="dash", line_color="red")

    fig.update_layout(legend_title="Legend", autosize=False,
                      width=1200,
                      height=600)
    fig.show()

    df_perf = df.apply(lambda x: x.div(x.iloc[0]).subtract(1).mul(100))

    for rate in rates:
        df_perf = pd.concat(
            [df_perf, web.DataReader(rate, "fred", start, end)], axis=1)

    fig = make_subplots(specs=[[{"secondary_y": True}]])

    x = df_perf.index

    for ticker in tickers:
        fig.add_trace(
            go.Scatter(x=x, y=df_perf[ticker],
                       name=legend[ticker]
                       ),
            secondary_y=False,
        )

    fig.add_trace(
        go.Scatter(x=x, y=df_perf["Gold"],
                   name="Gold"
                   ),
        secondary_y=False,
    )

    fig.add_trace(
        go.Scatter(x=x, y=df_perf["WTISPLC"],
                   name="Spot Crude Oil Price WTI"
                   ),
        secondary_y=False,
    )

    for rate in rates:
        fig.add_trace(
            go.Scatter(x=x, y=df_perf[rate],
                       name=legend[rate]
                       ),
            secondary_y=True,
        )

    for index, row in periods.iterrows():
        fig.add_vline(x=row['Start'], line_width=2,
                      line_dash="dash", line_color="green")
        fig.add_vline(x=row['Last'], line_width=2,
                      line_dash="dash", line_color="red")

    fig.update_yaxes(
        title_text="Total Indices/Asset change in %", secondary_y=False)
    fig.update_yaxes(
        title_text="Rates for FED/CPI/Unemployment", secondary_y=True)

    fig.update_xaxes(title="Date")

    fig.update_layout(title="Total performance to FED/CPI/Unemployment Rate", legend_title="Legend", autosize=False,
                      width=1200,
                      height=600)
    fig.show()
In [ ]:
comparison(tickers, periods.iloc[0]['Start'], periods.iloc[-1]["Last"])

[*********************100%***********************]  1 of 1 completed
[*********************100%***********************]  1 of 1 completed

Importing and cleaning the features data¶

This involves retrieving the data via Bloomberg Excel Add-ins in the background based on the periods¶

In [ ]:
period_data = ['SPR_Period_1.xlsx',
               'SPR_Period_2.xlsx',
               'SPR_Period_3.xlsx',
               'SPR_Period_4.xlsx']
In [ ]:
import matplotlib.pyplot as plt
import seaborn as sns


def heatmap(df):
    df = df.corr(numeric_only=True)

    f, ax = plt.subplots(figsize=(18, 18))
    sns.heatmap(df,
                annot=True,
                linewidths=0.5,
                fmt=".1f",
                ax=ax
                )

    plt.xticks(rotation=45)
    plt.yticks(rotation=0)
    plt.show()
In [ ]:
def df(filename):
    df = pd.read_excel(
        open(raw+filename, 'rb'))

    string_cols = ["Ticker", "Name", "GICS Sector"]

    for col in set(df.columns)-set(string_cols):
        df.loc[:, col] = pd.to_numeric(df.loc[:, col], errors="coerce")

    df.dropna(inplace=True)

    sector_dummies = pd.get_dummies(df[["GICS Sector"]])
    df = pd.concat([df, sector_dummies], axis=1)

    df["Revenue per Employee"] = (
        df["Revenue T12M"]/df["Number of Employees:Y"]).astype(float)

    df["Market Cap_perf"] = (
        (df["Market Cap_last"]-df["Market Cap"])/df["Market Cap"]).astype(float)

    df.drop(["Market Cap_last", "Price"], axis=1, inplace=True)

    df.set_index("Ticker", inplace=True)
    df.sort_values("GICS Sector", inplace=True)

    print("\nData decription for cleaned "+filename)
    perf = df.pop("Market Cap_perf")
    df.insert(0, "Market Cap_perf", perf)

    rpe = df.pop("Revenue per Employee")
    df.insert(1, "Revenue per Employee", rpe)

    print(df["GICS Sector"].value_counts(ascending=False))
    print(df.iloc[:, :12].describe())

    fig = px.scatter(df, x="Beta:M-1", y="Market Cap_perf",
                     size="Market Cap", color='GICS Sector',
                     hover_name="Name", log_x=True, size_max=100,  width=1200, height=600)

    fig.show()

    grouped = df.groupby("GICS Sector").mean()
    fig = px.scatter(grouped, x="Beta:M-1", y="Market Cap_perf", size="Market Cap",
                     color="Market Cap_perf", hover_name=grouped.index, log_x=True, size_max=100, width=1200, height=600)
    fig.show()

    heatmap(df)

    return df
In [ ]:
P1 = df('SPR_Period_1.xlsx')
P1.to_pickle("data/P1.pkl")
P2 = df('SPR_Period_2.xlsx')
P2.to_pickle("data/P2.pkl")
P3 = df('SPR_Period_3.xlsx')
P3.to_pickle("data/P3.pkl")
CrP = df('SPR_Period_4.xlsx')
CrP.to_pickle("data/CrP.pkl")

Data decription for cleaned SPR_Period_1.xlsx
Industrials               70
Consumer Discretionary    42
Materials                 34
Financials                24
Information Technology    24
Health Care               22
Utilities                 21
Energy                    18
Consumer Staples          13
Communication Services    10
Real Estate                7
Name: GICS Sector, dtype: int64
       Market Cap_perf  Revenue per Employee    Market Cap    EPS T12M  \
count       285.000000          2.850000e+02  2.850000e+02  285.000000   
mean          0.281026          4.487560e+05  1.604608e+10    3.413931   
std           0.638038          5.586263e+05  4.428762e+10   27.823270   
min          -0.723731          2.557610e+04  1.462507e+08   -8.710000   
25%          -0.139971          1.728683e+05  8.781259e+08    0.960000   
50%           0.173959          2.663913e+05  1.832561e+09    1.550000   
75%           0.516234          4.570233e+05  7.952841e+09    2.400000   
max           5.033335          5.526237e+06  3.086088e+11  470.650000   

              P/E  Revenue T12M   Net Debt LF  Sharpe:M-1    Beta:M-1  \
count  285.000000  2.850000e+02  2.850000e+02  285.000000  285.000000   
mean    29.714911  9.940533e+09  5.322259e+09    0.607473    1.078253   
std     50.598624  2.719508e+10  3.270506e+10    3.842689    0.333705   
min      1.186686  6.438100e+07 -5.429000e+09   -4.577547    0.377632   
25%     16.510843  7.351860e+08  3.716700e+07   -1.557635    0.850930   
50%     20.065041  1.820394e+09  3.344740e+08   -0.338837    1.022040   
75%     27.238411  5.345800e+09  1.446300e+09    1.772535    1.252488   
max    670.833395  2.563290e+11  4.879700e+11   36.750693    2.363428   

       Number of Employees:Y  
count           2.850000e+02  
mean            3.202856e+04  
std             9.969321e+04  
min             3.300000e+01  
25%             2.700000e+03  
50%             6.200000e+03  
75%             2.080000e+04  
max             1.400000e+06  

C:\Users\lucar\AppData\Local\Temp\ipykernel_12532\2024549663.py:8: FutureWarning:

In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`


C:\Users\lucar\AppData\Local\Temp\ipykernel_12532\2024549663.py:42: FutureWarning:

The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.


Data decription for cleaned SPR_Period_2.xlsx
Industrials               215
Financials                198
Consumer Discretionary    193
Information Technology    162
Health Care               139
Real Estate                82
Materials                  80
Consumer Staples           65
Utilities                  52
Communication Services     47
Energy                     31
Name: GICS Sector, dtype: int64
       Market Cap_perf  Revenue per Employee    Market Cap      EPS T12M  \
count      1264.000000          1.264000e+03  1.264000e+03   1264.000000   
mean          0.147601          9.049020e+05  1.691736e+10     14.868862   
std           0.307669          2.647872e+06  4.712290e+10    436.322437   
min          -0.756240          2.457104e+04  1.989182e+08    -28.993488   
25%          -0.030508          2.485905e+05  1.410615e+09      0.950000   
50%           0.139771          3.883639e+05  3.530342e+09      1.980000   
75%           0.286909          7.357386e+05  1.228984e+10      3.570000   
max           2.616234          5.176925e+07  5.751085e+11  15514.000732   

               P/E  Revenue T12M   Net Debt LF   Sharpe:M-1     Beta:M-1  \
count  1264.000000  1.264000e+03  1.264000e+03  1264.000000  1264.000000   
mean     30.358113  9.214322e+09  2.424687e+09     3.867187     1.301548   
std      39.025183  2.548965e+10  1.258455e+10    21.788243     0.825990   
min       1.188916  7.057600e+07 -1.465850e+11    -5.983057    -5.586384   
25%      15.767763  8.214680e+08  4.567000e+06    -1.578042     0.806176   
50%      20.571199  2.306799e+09  5.853565e+08     0.901342     1.209342   
75%      28.974141  6.893375e+09  2.481948e+09     5.184810     1.661967   
max     479.647148  4.838330e+11  1.401980e+11   536.800751     6.549999   

       Number of Employees:Y  
count           1.264000e+03  
mean            2.317499e+04  
std             8.084310e+04  
min             1.200000e+01  
25%             1.879250e+03  
50%             6.215000e+03  
75%             1.697000e+04  
max             2.300000e+06  

C:\Users\lucar\AppData\Local\Temp\ipykernel_12532\2024549663.py:8: FutureWarning:

In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`


C:\Users\lucar\AppData\Local\Temp\ipykernel_12532\2024549663.py:42: FutureWarning:

The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.


Data decription for cleaned SPR_Period_3.xlsx
Industrials               220
Consumer Discretionary    206
Financials                195
Information Technology    163
Health Care               143
Real Estate                90
Materials                  77
Consumer Staples           64
Utilities                  47
Communication Services     44
Energy                     39
Name: GICS Sector, dtype: int64
       Market Cap_perf  Revenue per Employee    Market Cap      EPS T12M  \
count      1288.000000          1.288000e+03  1.288000e+03   1288.000000   
mean          0.147821          9.275992e+05  1.875485e+10     13.200758   
std           0.309161          2.669005e+06  5.555363e+10    369.498990   
min          -0.678959          2.241154e+04  1.272757e+08    -23.000000   
25%          -0.039499          2.494929e+05  1.531783e+09      0.970000   
50%           0.098238          4.007878e+05  3.922198e+09      2.035000   
75%           0.280891          7.729627e+05  1.332773e+10      3.770000   
max           2.290017          4.657489e+07  8.473556e+11  13262.306641   

               P/E  Revenue T12M   Net Debt LF   Sharpe:M-1     Beta:M-1  \
count  1288.000000  1.288000e+03  1.288000e+03  1288.000000  1288.000000   
mean     33.142125  9.536717e+09  2.570835e+09     0.756570     1.063742   
std      64.081447  2.663085e+10  1.414289e+10     4.566873     0.420601   
min       3.670858  7.120800e+07 -1.924410e+11    -6.599870    -1.169437   
25%      16.374196  8.299317e+08  5.610500e+06    -1.967786     0.785821   
50%      21.760573  2.311350e+09  6.116070e+08    -0.695388     1.048927   
75%      31.069361  7.006518e+09  2.558997e+09     1.914648     1.319089   
max    1232.898177  4.900120e+11  1.487000e+11    42.682786     3.945204   

       Number of Employees:Y  
count           1.288000e+03  
mean            2.325369e+04  
std             7.986856e+04  
min             9.000000e+00  
25%             1.808250e+03  
50%             6.000000e+03  
75%             1.701200e+04  
max             2.300000e+06  

C:\Users\lucar\AppData\Local\Temp\ipykernel_12532\2024549663.py:8: FutureWarning:

In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`


C:\Users\lucar\AppData\Local\Temp\ipykernel_12532\2024549663.py:42: FutureWarning:

The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.


Data decription for cleaned SPR_Period_4.xlsx
Financials                212
Industrials               204
Consumer Discretionary    176
Information Technology    161
Health Care               144
Materials                  76
Real Estate                74
Consumer Staples           73
Utilities                  47
Energy                     43
Communication Services     41
Name: GICS Sector, dtype: int64
       Market Cap_perf  Revenue per Employee    Market Cap      EPS T12M  \
count      1251.000000          1.251000e+03  1.251000e+03   1251.000000   
mean         -0.107301          1.704008e+06  3.730375e+10     50.430360   
std           0.276760          2.465136e+07  1.576904e+11   1584.047620   
min          -0.880566          0.000000e+00  2.603171e+08    -29.999999   
25%          -0.280267          2.885621e+05  2.572275e+09      1.569882   
50%          -0.121871          4.648469e+05  6.271337e+09      3.380000   
75%           0.038556          9.546005e+05  2.292748e+10      6.410000   
max           1.577691          8.679870e+08  2.913284e+12  56030.461914   

               P/E  Revenue T12M   Net Debt LF   Sharpe:M-1     Beta:M-1  \
count  1251.000000  1.251000e+03  1.251000e+03  1251.000000  1251.000000   
mean     42.789360  1.266525e+10  2.432334e+09     6.533776     1.033628   
std     148.565791  3.709942e+10  2.310201e+10    12.572111     0.398199   
min       2.032031  0.000000e+00 -4.970840e+11    -2.574604    -0.620231   
25%      12.651716  1.103328e+09 -4.016150e+07     1.084521     0.780583   
50%      21.496996  3.021500e+09  8.394000e+08     3.870672     1.032788   
75%      36.325950  9.202354e+09  3.242865e+09     8.608590     1.237575   
max    3929.330701  5.719620e+11  1.845140e+11   350.969012     3.605870   

       Number of Employees:Y  
count           1.251000e+03  
mean            2.613914e+04  
std             9.136279e+04  
min             1.000000e+00  
25%             2.000000e+03  
50%             6.532000e+03  
75%             1.905000e+04  
max             2.300000e+06  

C:\Users\lucar\AppData\Local\Temp\ipykernel_12532\2024549663.py:8: FutureWarning:

In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`


C:\Users\lucar\AppData\Local\Temp\ipykernel_12532\2024549663.py:42: FutureWarning:

The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.
In [ ]:
P1 = pd.read_pickle("data/P1.pkl")
P2 = pd.read_pickle("data/P2.pkl")
P3 = pd.read_pickle("data/P3.pkl")
CrP = pd.read_pickle("data/P4.pkl")

dfs_dict = {"Period 1": P1, "Period 2": P2,
            "Period 3": P3, "Current Period": CrP}
In [ ]:
P1
Out[ ]:
Market Cap_perf Revenue per Employee Name Market Cap EPS T12M P/E Revenue T12M GICS Sector Net Debt LF Sharpe:M-1 ... GICS Sector_Consumer Discretionary GICS Sector_Consumer Staples GICS Sector_Energy GICS Sector_Financials GICS Sector_Health Care GICS Sector_Industrials GICS Sector_Information Technology GICS Sector_Materials GICS Sector_Real Estate GICS Sector_Utilities
Ticker
CBB UN Equity -0.037100 4.720606e+05 Cincinnati Bell Inc 1.005232e+09 5.630000 1.186686 1.557800e+09 Communication Services 2.261800e+09 -1.444172 ... 0 0 0 0 0 0 0 0 0 0
LUMN UN Equity 0.149434 3.542775e+05 Lumen Technologies Inc 3.862400e+09 2.400000 11.359832 2.380745e+09 Communication Services 2.978574e+09 -2.676724 ... 0 0 0 0 0 0 0 0 0 0
T UN Equity 0.414267 2.431131e+05 AT&T Inc 8.181287e+10 2.573197 13.714530 4.084300e+10 Communication Services 1.275500e+10 1.020312 ... 0 0 0 0 0 0 0 0 0 0
TGNA UN Equity -0.490815 1.266248e+05 TEGNA Inc 2.436241e+10 4.490000 19.973154 6.711115e+09 Communication Services 3.767323e+09 2.879784 ... 0 0 0 0 0 0 0 0 0 0
LEE UN Equity -0.444533 9.912179e+04 Lee Enterprises Inc 2.056007e+09 1.800000 25.588889 6.641160e+08 Communication Services 2.651470e+08 1.037701 ... 0 0 0 0 0 0 0 0 0 0
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
NEE UN Equity 0.420010 1.003229e+06 NextEra Energy Inc 1.235538e+10 5.010000 13.674847 9.631000e+09 Utilities 9.881000e+09 0.814138 ... 0 0 0 0 0 0 0 0 0 1
WGL UN Equity -0.002162 1.005542e+06 WGL Holdings Inc 1.472877e+09 2.070000 14.699030 2.089517e+09 Utilities 8.268020e+08 4.887077 ... 0 0 0 0 0 0 0 0 0 1
AVA UN Equity 0.306782 7.747483e+05 Avista Corp 9.270209e+08 0.890000 19.170000 1.123385e+09 Utilities 1.022275e+09 2.143650 ... 0 0 0 0 0 0 0 0 0 1
VVC UN Equity 0.132743 8.545210e+05 Vectren LLC 1.899370e+09 1.570000 15.761006 1.587700e+09 Utilities 1.360900e+09 -0.435962 ... 0 0 0 0 0 0 0 0 0 1
1964632D UN Equity 0.607718 6.643620e+05 El Paso Electric Co 6.614788e+08 1.280000 20.144927 6.643620e+08 Utilities 6.156280e+08 0.477109 ... 0 0 0 0 0 0 0 0 0 1

285 rows × 23 columns

In [ ]:
all_dfs = [P1, P2, P3, CrP]
all_df = pd.concat(all_dfs)

print("\nData description for all periods (including current period)")
perf = all_df.pop("Market Cap_perf")
all_df.insert(0, "Market Cap_perf", perf)

rpe = all_df.pop("Revenue per Employee")
all_df.insert(1, "Revenue per Employee", rpe)

print(all_df["GICS Sector"].value_counts(ascending=False))
print(all_df.iloc[:, :12].describe())

fig = px.scatter(all_df, x="Beta:M-1", y="Market Cap_perf",
                     size="Market Cap", color='GICS Sector',
                     hover_name="Name", log_x=True, size_max=100,  width=1200, height=600)

fig.show()

grouped = all_df.groupby("GICS Sector").mean()
fig = px.scatter(grouped, x="Beta:M-1", y="Market Cap_perf", size="Market Cap",
                     color="Market Cap_perf", hover_name=grouped.index, log_x=True, size_max=100, width=1200, height=600)
fig.show()

heatmap(all_df)

Data description for all periods (including current period)
Industrials               709
Financials                629
Consumer Discretionary    617
Information Technology    510
Health Care               448
Materials                 267
Real Estate               253
Consumer Staples          215
Utilities                 167
Communication Services    142
Energy                    131
Name: GICS Sector, dtype: int64
       Market Cap_perf  Revenue per Employee    Market Cap      EPS T12M  \
count      4088.000000          4.088000e+03  4.088000e+03   4088.000000   
mean          0.078968          1.124793e+06  2.367415e+10     24.427145   
std           0.357049          1.380050e+07  9.737721e+10    932.534312   
min          -0.880566          0.000000e+00  1.272757e+08    -29.999999   
25%          -0.129709          2.527921e+05  1.581643e+09      1.070000   
50%           0.046989          4.029917e+05  4.161107e+09      2.260000   
75%           0.237600          7.898228e+05  1.495538e+10      4.160000   
max           5.033335          8.679870e+08  2.913284e+12  56030.461914   

               P/E  Revenue T12M   Net Debt LF   Sharpe:M-1     Beta:M-1  \
count  4088.000000  4.088000e+03  4.088000e+03  4088.000000  4088.000000   
mean     34.994606  1.042257e+10  2.675082e+09     3.475898     1.129067   
std      93.383866  2.997860e+10  1.870871e+10    14.437920     0.579908   
min       1.186686  0.000000e+00 -4.970840e+11    -6.599870    -5.586384   
25%      15.232425  8.802060e+08  1.833500e+06    -1.307157     0.796167   
50%      21.049361  2.400663e+09  6.212510e+08     1.131910     1.070434   
75%      31.763729  7.612625e+09  2.714922e+09     5.053955     1.373011   
max    3929.330701  5.719620e+11  4.879700e+11   536.800751     6.549999   

       Number of Employees:Y  
count           4.088000e+03  
mean            2.472410e+04  
std             8.530993e+04  
min             1.000000e+00  
25%             1.944500e+03  
50%             6.300000e+03  
75%             1.790200e+04  
max             2.300000e+06  

C:\Users\lucar\AppData\Local\Temp\ipykernel_12532\3615367464.py:20: FutureWarning:

The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.
In [ ]:
former_dfs = [P1, P2, P3]
former_df = pd.concat(former_dfs)

print("\nData decription for only former periods")
perf = former_df.pop("Market Cap_perf")
former_df.insert(0, "Market Cap_perf", perf)

rpe = former_df.pop("Revenue per Employee")
former_df.insert(1, "Revenue per Employee", rpe)

print(former_df["GICS Sector"].value_counts(ascending=False))
print(former_df.iloc[:, :12].describe())

fig = px.scatter(former_df, x="Beta:M-1", y="Market Cap_perf",
                 size="Market Cap", color='GICS Sector',
                 hover_name="Name", log_x=True, size_max=100,  width=1200, height=600)

fig.show()

grouped = former_df.groupby("GICS Sector").mean()
fig = px.scatter(grouped, x="Beta:M-1", y="Market Cap_perf", size="Market Cap",
                 color="Market Cap_perf", hover_name=grouped.index, log_x=True, size_max=100, width=1200, height=600)
fig.show()

heatmap(former_df)

Data decription for only former periods
Industrials               505
Consumer Discretionary    441
Financials                417
Information Technology    349
Health Care               304
Materials                 191
Real Estate               179
Consumer Staples          142
Utilities                 120
Communication Services    101
Energy                     88
Name: GICS Sector, dtype: int64
       Market Cap_perf  Revenue per Employee    Market Cap      EPS T12M  \
count      2837.000000          2.837000e+03  2.837000e+03   2837.000000   
mean          0.161105          8.693829e+05  1.766405e+10     12.960799   
std           0.357638          2.531066e+06  5.086190e+10    383.184299   
min          -0.756240          2.241154e+04  1.272757e+08    -28.993488   
25%          -0.039069          2.413852e+05  1.384998e+09      0.960000   
50%           0.123482          3.791714e+05  3.383413e+09      1.950000   
75%           0.294850          7.316413e+05  1.242718e+10      3.520000   
max           5.033335          5.176925e+07  8.473556e+11  15514.000732   

               P/E  Revenue T12M   Net Debt LF   Sharpe:M-1     Beta:M-1  \
count  2837.000000  2.837000e+03  2.837000e+03  2837.000000  2837.000000   
mean     31.557441  9.433643e+09  2.782123e+09     2.127500     1.171152   
std      52.917709  2.617835e+10  1.640547e+10    14.993197     0.639499   
min       1.186686  6.438100e+07 -1.924410e+11    -6.599870    -5.586384   
25%      16.143771  8.185460e+08  8.842000e+06    -1.798663     0.800994   
50%      20.998204  2.215573e+09  5.608190e+08    -0.024635     1.107392   
75%      29.636232  6.790800e+09  2.440245e+09     3.246132     1.439695   
max    1232.898177  4.900120e+11  4.879700e+11   536.800751     6.549999   

       Number of Employees:Y  
count           2.837000e+03  
mean            2.410013e+04  
std             8.250902e+04  
min             9.000000e+00  
25%             1.918000e+03  
50%             6.100000e+03  
75%             1.740000e+04  
max             2.300000e+06  

C:\Users\lucar\AppData\Local\Temp\ipykernel_12532\2305895251.py:20: FutureWarning:

The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.
In [ ]:
df = former_df.iloc[:, :12].corr(numeric_only=True)

f, ax = plt.subplots(figsize=(18, 18))
sns.set(font_scale=1.5)
sns.heatmap(df,
            annot=True,
            linewidths=0.5,
            fmt=".1f",
            ax=ax
            )

plt.xticks(rotation=45)
plt.yticks(rotation=0)
plt.show()
In [ ]:
top10 = pd.DataFrame()

for df in former_dfs:
    top10 = pd.concat([top10, df.sort_values(
        "Market Cap_perf", ascending=False).head(10)])

perf = top10.pop("Market Cap_perf")
top10.insert(0, "Market Cap_perf", perf)

rpe = top10.pop("Revenue per Employee")
top10.insert(1, "Revenue per Employee", rpe)

print(top10["GICS Sector"].value_counts(ascending=False))
print(top10.iloc[:, :12].describe())

top10.sort_values("Market Cap_perf", ascending=False)

heatmap(top10)

Industrials               7
Energy                    5
Consumer Discretionary    5
Materials                 3
Information Technology    3
Financials                3
Health Care               2
Communication Services    1
Consumer Staples          1
Name: GICS Sector, dtype: int64
       Market Cap_perf  Revenue per Employee    Market Cap   EPS T12M  \
count        30.000000          3.000000e+01  3.000000e+01  30.000000   
mean          1.954413          5.078052e+05  2.441349e+09   0.984556   
std           0.693458          4.032231e+05  6.085325e+09   1.919795   
min           1.304530          1.283391e+05  2.782508e+08  -6.720000   
25%           1.500476          1.768069e+05  5.714091e+08   0.405000   
50%           1.862673          3.971350e+05  9.707596e+08   1.050000   
75%           2.207235          6.760008e+05  1.644764e+09   1.735000   
max           5.033335          1.654904e+06  3.378525e+10   4.370000   

              P/E  Revenue T12M   Net Debt LF  Sharpe:M-1   Beta:M-1  \
count   30.000000  3.000000e+01  3.000000e+01   30.000000  30.000000   
mean    35.399076  1.444729e+09  2.619570e+08    6.904675   0.993617   
std     23.022050  1.550357e+09  1.138929e+09   30.388213   0.938778   
min      9.326661  2.055270e+08 -3.371000e+09   -2.827769  -1.657429   
25%     19.404363  3.251750e+08 -8.340650e+07   -1.973641   0.667566   
50%     28.241244  7.713390e+08  4.667550e+07   -0.880110   1.025435   
75%     38.376455  2.016746e+09  3.241035e+08    1.632434   1.338787   
max    100.730191  5.526000e+09  3.476000e+09  162.272899   3.457157   

       Number of Employees:Y  
count              30.000000  
mean             4609.333333  
std              5805.966499  
min               178.000000  
25%               922.250000  
50%              1929.500000  
75%              6742.750000  
max             26000.000000

Machine learning¶

Decision Tree¶

In [ ]:
from sklearn.metrics import confusion_matrix, accuracy_score

def evaluate(clf, X_train, X_test, y_train, y_test):
    print("Train Accuracy :", accuracy_score(y_train, clf.predict(X_train)))
    print("Train Confusion Matrix:")
    print(confusion_matrix(y_train, clf.predict(X_train)))
    print("Test Accuracy :", accuracy_score(y_test, clf.predict(X_test)))
    print("Test Confusion Matrix:")
    print(confusion_matrix(y_test, clf.predict(X_test)))
In [ ]:
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier
from sklearn.tree import plot_tree


def decision_tree(df, title):
    df["Compared Performance"] = np.where(
        (df['Market Cap_perf'] > df['Market Cap_perf'].mean()), "Outperformed", "Not Outperformed")
    y = df["Compared Performance"]
    X = df.drop(
        columns=["Compared Performance", "Market Cap_perf", "Name", "GICS Sector"])

    X_train, X_test, y_train, y_test = train_test_split(
        X, y, test_size=0.1, random_state=42)

    print(f'X_train : {X_train.shape}')
    print(f'y_train : {y_train.shape}')
    print(f'X_test : {X_test.shape}')
    print(f'y_test : {y_test.shape}')

    print(title)
    dt = DecisionTreeClassifier(max_depth=3)

    dt.fit(X_train, y_train)

    fig, ax = plt.subplots(figsize=(30, 30))
    plot_tree(dt, feature_names=X.columns, class_names=[
              "Outperformed", "Not Outperformed"], filled=True,  proportion=False, fontsize=20)

    evaluate(dt, X_train, X_test, y_train, y_test)
In [ ]:
decision_tree(all_df, "Using the data of all periods (including the current, ongoing one)")

X_train : (3679, 20)
y_train : (3679,)
X_test : (409, 20)
y_test : (409,)
Using the data of all periods (including the current, ongoing one)
Train Accuracy : 0.6107637945093776
Train Confusion Matrix:
[[1390  630]
 [ 802  857]]
Test Accuracy : 0.5916870415647921
Test Confusion Matrix:
[[142  66]
 [101 100]]
In [ ]:
decision_tree(former_df, "Using the data of only concluded periods")

X_train : (2553, 20)
y_train : (2553,)
X_test : (284, 20)
y_test : (284,)
Using the data of only concluded periods
Train Accuracy : 0.5875440658049353
Train Confusion Matrix:
[[824 609]
 [444 676]]
Test Accuracy : 0.5950704225352113
Test Confusion Matrix:
[[91 70]
 [45 78]]
In [ ]:
former_df["Compared Performance"] = np.where(
    (former_df['Market Cap_perf'] > former_df['Market Cap_perf'].mean()), "Outperformed", "Not Outperformed")
y_train = former_df["Compared Performance"]
X_train = former_df.drop(
    columns=["Compared Performance", "Market Cap_perf", "Name", "GICS Sector"])

CrP["Compared Performance"] = np.where(
    (CrP['Market Cap_perf'] > CrP['Market Cap_perf'].mean()), "Outperformed", "Not Outperformed")
y_test = CrP["Compared Performance"]
X_test = CrP.drop(
    columns=["Compared Performance", "Market Cap_perf", "Name", "GICS Sector"])

print(f'X_train : {X_train.shape}')
print(f'y_train : {y_train.shape}')
print(f'X_test : {X_test.shape}')
print(f'y_test : {y_test.shape}')

print("Using the data of concluded periods as training data and the current, ongoing period data, as test data")
dt = DecisionTreeClassifier(max_depth=3)

dt.fit(X_train, y_train)

fig, ax = plt.subplots(figsize=(30, 30))
plot_tree(dt, feature_names=X_train.columns, class_names=[
    "Outperformed", "Not Outperformed"], filled=True,  proportion=False, fontsize=20)

evaluate(dt, X_train, X_test, y_train, y_test)

X_train : (2837, 20)
y_train : (2837,)
X_test : (1251, 20)
y_test : (1251,)
Using the data of concluded periods as training data and the current, ongoing period data, as test data
Train Accuracy : 0.6048642932675361
Train Confusion Matrix:
[[890 704]
 [417 826]]
Test Accuracy : 0.49960031974420466
Test Confusion Matrix:
[[322 338]
 [288 303]]

Random Forest with Hyperparametertuning¶

In [ ]:
n_estimators = [5, 10, 25, 50, 100]
max_features = ['auto', 'sqrt']
max_depth = np.arange(2, 22, 2)
min_samples_split = [5, 10, 25, 50, 100, 200]
min_samples_leaf = [5, 10, 25, 50, 100, 200]
bootstrap = [True, False]

params_arr = {'n_estimators': n_estimators,
          'max_features': max_features,
          'max_depth': max_depth,
          'min_samples_split': min_samples_split,
          'min_samples_leaf': min_samples_leaf,
          'bootstrap': bootstrap}
In [ ]:
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import GridSearchCV
from sklearn import tree

# current is test
rf = RandomForestClassifier()

rf_Grid = GridSearchCV(estimator=rf, param_grid=params_arr,
                       cv=4, verbose=3, n_jobs=-1)
rf_Grid.fit(X_train, y_train)

params = {'bootstrap': [rf_Grid.best_params_["bootstrap"]],
          'max_depth': [rf_Grid.best_params_['max_depth']],
          'max_features': [rf_Grid.best_params_['max_features']],
          'min_samples_leaf': [rf_Grid.best_params_['min_samples_leaf']],
          'min_samples_split': [rf_Grid.best_params_['min_samples_split']],
          'n_estimators': [rf_Grid.best_params_['n_estimators']]}

print(params)

current_test_Grid = GridSearchCV(estimator=rf, param_grid=params,
                                 cv=4, verbose=3, n_jobs=-1)
current_test_Grid.fit(X_train, y_train)

evaluate(current_test_Grid, X_train, X_test, y_train, y_test)

CrP.drop(["Compared Performance"], inplace=True)

Fitting 4 folds for each of 7200 candidates, totalling 28800 fits
{'bootstrap': [True], 'max_depth': [20], 'max_features': ['sqrt'], 'min_samples_leaf': [5], 'min_samples_split': [10], 'n_estimators': [100]}
Fitting 4 folds for each of 1 candidates, totalling 4 fits
Train Accuracy : 0.9400705052878966
Train Confusion Matrix:
[[1404   29]
 [ 124  996]]
Test Accuracy : 0.5809859154929577
Test Confusion Matrix:
[[122  39]
 [ 80  43]]
In [ ]:
current_test_Grid
Out[ ]:
GridSearchCV(cv=4, estimator=RandomForestClassifier(), n_jobs=-1,
             param_grid={'bootstrap': [True], 'max_depth': [20],
                         'max_features': ['sqrt'], 'min_samples_leaf': [5],
                         'min_samples_split': [10], 'n_estimators': [100]},
             verbose=3)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
GridSearchCV(cv=4, estimator=RandomForestClassifier(), n_jobs=-1,
             param_grid={'bootstrap': [True], 'max_depth': [20],
                         'max_features': ['sqrt'], 'min_samples_leaf': [5],
                         'min_samples_split': [10], 'n_estimators': [100]},
             verbose=3)
RandomForestClassifier()
RandomForestClassifier()
In [ ]:
# all_df
y = all_df["Compared Performance"]
X = all_df.drop(
    columns=["Compared Performance", "Market Cap_perf", "Name", "GICS Sector"])

X_train, X_test, y_train, y_test = train_test_split(
    X, y, test_size=0.1, random_state=42)

rf = RandomForestClassifier()

rf_Grid = GridSearchCV(estimator=rf, param_grid=params_arr,
                       cv=4, verbose=3, n_jobs=-1)
rf_Grid.fit(X_train, y_train)

params = {'bootstrap': [rf_Grid.best_params_["bootstrap"]],
          'max_depth': [rf_Grid.best_params_['max_depth']],
          'max_features': [rf_Grid.best_params_['max_features']],
          'min_samples_leaf': [rf_Grid.best_params_['min_samples_leaf']],
          'min_samples_split': [rf_Grid.best_params_['min_samples_split']],
          'n_estimators': [rf_Grid.best_params_['n_estimators']]}

print(params)

all_Grid = GridSearchCV(estimator=rf, param_grid=params,
                        cv=4, verbose=3, n_jobs=-1)
all_Grid.fit(X_train, y_train)

evaluate(all_Grid, X_train, X_test, y_train, y_test)

Fitting 4 folds for each of 7200 candidates, totalling 28800 fits

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\ensemble\_forest.py:424: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.


{'bootstrap': [False], 'max_depth': [12], 'max_features': ['auto'], 'min_samples_leaf': [5], 'min_samples_split': [5], 'n_estimators': [50]}
Fitting 4 folds for each of 1 candidates, totalling 4 fits

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\ensemble\_forest.py:424: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.


Train Accuracy : 0.9233487360695841
Train Confusion Matrix:
[[1902  118]
 [ 164 1495]]
Test Accuracy : 0.6112469437652812
Test Confusion Matrix:
[[131  77]
 [ 82 119]]
In [ ]:
all_Grid
Out[ ]:
GridSearchCV(cv=4, estimator=RandomForestClassifier(), n_jobs=-1,
             param_grid={'bootstrap': [False], 'max_depth': [12],
                         'max_features': ['auto'], 'min_samples_leaf': [5],
                         'min_samples_split': [5], 'n_estimators': [50]},
             verbose=3)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
GridSearchCV(cv=4, estimator=RandomForestClassifier(), n_jobs=-1,
             param_grid={'bootstrap': [False], 'max_depth': [12],
                         'max_features': ['auto'], 'min_samples_leaf': [5],
                         'min_samples_split': [5], 'n_estimators': [50]},
             verbose=3)
RandomForestClassifier()
RandomForestClassifier()
In [ ]:
# only former_df
y = former_df["Compared Performance"]
X = former_df.drop(
    columns=["Compared Performance", "Market Cap_perf", "Name", "GICS Sector"])

X_train, X_test, y_train, y_test = train_test_split(
    X, y, test_size=0.1, random_state=42)

rf = RandomForestClassifier()

rf_Grid = GridSearchCV(estimator=rf, param_grid=params_arr,
                       cv=4, verbose=3, n_jobs=-1)
rf_Grid.fit(X_train, y_train)

params = {'bootstrap': [rf_Grid.best_params_["bootstrap"]],
          'max_depth': [rf_Grid.best_params_['max_depth']],
          'max_features': [rf_Grid.best_params_['max_features']],
          'min_samples_leaf': [rf_Grid.best_params_['min_samples_leaf']],
          'min_samples_split': [rf_Grid.best_params_['min_samples_split']],
          'n_estimators': [rf_Grid.best_params_['n_estimators']]}

print(params)

former_Grid = GridSearchCV(estimator=rf, param_grid=params,
                           cv=4, verbose=3, n_jobs=-1)
former_Grid.fit(X_train, y_train)

evaluate(former_Grid, X_train, X_test, y_train, y_test)

Fitting 4 folds for each of 7200 candidates, totalling 28800 fits
{'bootstrap': [False], 'max_depth': [16], 'max_features': ['sqrt'], 'min_samples_leaf': [5], 'min_samples_split': [50], 'n_estimators': [25]}
Fitting 4 folds for each of 1 candidates, totalling 4 fits
Train Accuracy : 0.8511555033294164
Train Confusion Matrix:
[[1299  134]
 [ 246  874]]
Test Accuracy : 0.5809859154929577
Test Confusion Matrix:
[[117  44]
 [ 75  48]]
In [ ]:
former_Grid
Out[ ]:
GridSearchCV(cv=4, estimator=RandomForestClassifier(), n_jobs=-1,
             param_grid={'bootstrap': [False], 'max_depth': [16],
                         'max_features': ['sqrt'], 'min_samples_leaf': [5],
                         'min_samples_split': [50], 'n_estimators': [25]},
             verbose=3)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
GridSearchCV(cv=4, estimator=RandomForestClassifier(), n_jobs=-1,
             param_grid={'bootstrap': [False], 'max_depth': [16],
                         'max_features': ['sqrt'], 'min_samples_leaf': [5],
                         'min_samples_split': [50], 'n_estimators': [25]},
             verbose=3)
RandomForestClassifier()
RandomForestClassifier()

The best results stemmed from the all_df dataframe

Portfolio strategy implementation¶

Using the findings from above we can determine the companies predicted to outperform

In [ ]:
import statistics

# we add all companies that have been identified as "Outperformed" and assign equal weights
all_classifier_performance = []
former_classifier_performance = []
current_test_classifier_performance = []


for df in all_dfs:
    all_outperformer_perf = []
    former_outperformer_perf = []
    current_test_outperformer_perf = []
    
    compare_df = df.drop(["Market Cap_perf", "Name", "GICS Sector"], axis=1)
    for i in range(df.shape[0]):
        if all_Grid.predict([compare_df.iloc[i].values]) == "Outperformed":
            all_outperformer_perf.append(df.iloc[i, 0])
        if former_Grid.predict([compare_df.iloc[i].values]) == "Outperformed":
            former_outperformer_perf.append(df.iloc[i, 0])
        if current_test_Grid.predict([compare_df.iloc[i].values]) == "Outperformed":
            current_test_outperformer_perf.append(df.iloc[i, 0])
            
    all_classifier_performance.append(1+statistics.mean(all_outperformer_perf))
    former_classifier_performance.append(1+statistics.mean(former_outperformer_perf))
    current_test_classifier_performance.append(1+statistics.mean(current_test_outperformer_perf))

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

X does not have valid feature names, but RandomForestClassifier was fitted with feature names

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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c:\Users\lucar\anaconda3\envs\ds\Lib\site-packages\sklearn\base.py:420: UserWarning:

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In [ ]:
# importing comparative indices/assets, gold is still saved
sp1500 = yf_import("^SP1500", periods.iloc[0]['Start'], periods.iloc[-1]["Last"])
nasdaq = yf_import("^IXIC", periods.iloc[0]['Start'], periods.iloc[-1]["Last"])

[*********************100%***********************]  1 of 1 completed
[*********************100%***********************]  1 of 1 completed
In [ ]:
performance = periods
gold_performance = []
sp1500_performance = []
nasdaq_performance = []
WTI_performance = []

for index, row in periods.iterrows():
    gold_performance.append((1+((gold.loc[row["Last"]].values)-(
        gold.loc[row["Start"]].values))/(gold.loc[row["Start"]].values)).item())

    sp1500_performance.append((1+((sp1500.loc[row["Last"]].values)-(
        sp1500.loc[row["Start"]].values))/(sp1500.loc[row["Start"]].values)).item())

    nasdaq_performance.append((1+((nasdaq.loc[row["Last"]].values)-(
        nasdaq.loc[row["Start"]].values))/(nasdaq.loc[row["Start"]].values)).item())

    WTI_performance.append((1+((WTI.loc[row["Last"]].values)-(
        WTI.loc[row["Start"]].values))/(WTI.loc[row["Start"]].values)).item())
In [ ]:
performance["Gold"] = gold_performance
performance["S&P 1500"] = sp1500_performance
performance["Nasdaq"] = nasdaq_performance
performance["Spot Crude Oil Price WTI"] = WTI_performance
performance["all_Grid"] = all_classifier_performance
performance["former_Grid"] = former_classifier_performance
performance["current_test_Grid"] = current_test_classifier_performance


performance.drop(["current_test_grid"], axis=1)
Out[ ]:
Name Start Last Duration Gold S&P 1500 Nasdaq Spot Crude Oil Price WTI all_Grid former_Grid current_test_Grid
0 Period 1 2004-04-01 2006-08-01 27 1.626804 1.148445 1.047715 1.991006 1.499838 1.588331 1.696985
1 Period 2 2016-09-01 2017-08-01 10 1.002506 1.135936 1.201220 1.063302 1.291162 1.333193 1.373152
2 Period 3 2017-09-01 2018-07-01 9 0.956180 1.124224 1.206716 1.424729 1.319101 1.371090 1.393592
3 Period 4 2022-01-01 2023-02-01 13 1.022434 0.897279 0.797209 0.923216 1.208731 0.897760 0.887757